Raven-II: An Open Platform for Surgical Robotics Research

By B. Hannaford, J. Rosen, D. Friedman, H. King, Phillip Roan, Lei Cheng, Daniel Glozman, Ji Ma, S. Kosari, Lee White. IEEE Transactions on Biomedical Engineering, 2013

379 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Computer Vision and Pattern Recognition, Surgery

View Paper: https://www.semanticscholar.org/paper/22a96003b9fe8da300f1b487fb48ed532b564690

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In Biomedical Engineering

In Computer Vision and Pattern Recognition

In Surgery

Citations in the corpus

Learning accurate kinematic control of cable-driven surgical robots using data cleaning and Gaussian Process Regression (2014, background): “…is the derivative of the pose • x = (p, ṗ) is the state of the robot, with subscripts xc,xo, and xd to denote the commanded, observed, and desired states, repectively • R(p) ∈ R3×3 is the rotation matrix corresponding to the yaw, pitch, and roll rotations of p • t(p) ∈ R3×1 is the translation…”
Image Object Label 3 D CAD Model Candidate Grasps Google Object Recognition Engine Google Cloud Storage Select Feasible Grasp with Highest Success Probability Pose EstimationCamera Robots Cloud 3 D Sensor (2014, methodology): “The Raven [71] is an open-architecture laparoscopic surgery robot developed as a research platform an order of magnitude less expensive than commercial surgical robots [23].”
A Survey of Research on Cloud Robotics and Automation (2015, background): “11). research and many in industry, with the ROS Industrial project created to support these users [17].”
PyRobot: An Open-source Robotics Framework for Research and Benchmarking (2019, background): “Raven is a open architecture surgical research robot [57].”
Systems-Theoretic Safety Assessment of Robotic Telesurgical Systems (2015, methodology): “As a case study, we used RAVEN II robot, an open-source platform for research in telerobotic surgery [8].”
An open-source research kit for the da Vinci® Surgical System (2014, methodology): “On the slave side, the Raven II research robot [2] was recently disseminated to several institutions via support from the National Science Foundation (NSF) and is available for purchase from Applied Dexterity, Inc.”
A case study of trajectory transfer through non-rigid registration for a simplified suturing scenario (2013, methodology): “Our experiments consider a simplified suturing scenario, both with a simulated Raven II system [5] and with a real PR2, and show that a single demonstration (provided by a human) can be generalized to a variety of initial conditions.”